9 Best Web Crawlers in 2026 for SEO, AI & More Projects

Picking the right web crawler still feels harder than it should. Choosing the right web crawler can be tricky. There are plenty of tools out there, and each comes with its own features and strengths. You might want to audit a site's SEO, feed clean data into an AI pipeline, or grab product pages without writing code.

We've done the legwork for you. This guide covers the 9 best web crawlers for 2026, grouped into 4 categories based on what you need. We'll cover everything from no-code tools and AI crawlers to open-source frameworks and SEO tools. Plus, we'll look at how proxies can help keep your crawling projects running smoothly.

What Is a Web Crawler

A web crawler is a program that automatically visits web pages and follows links to discover more pages. It's also known as a spider or bot. Search engines use crawlers to discover pages for indexing, while businesses use them to explore website structures and find relevant content.

Web crawling has many applications. SEO professionals use crawlers to audit websites and identify technical issues. Developers can scrape data from relevant pages to build applications, while AI teams collect website content for training datasets or retrieval systems.

4 Types of Web Crawler Tools in 2026

Not every web crawler is built for the same job. We've picked the top tools in 4 categories, from no-code options to AI crawlers, open-source frameworks, and SEO tools. Here's a quick overview to help you find the category that fits your needs.

2 Best No-Code Web Crawlers for Non-Developers

Not everyone codes, and you don't have to. The 2 best website crawlers featured in this section make web crawling simple with visual, point-and-click interfaces. Marketers, analysts, and small business owners can collect website data without writing a single line of code.

Octoparse

Octoparse is about as close as web scraping gets to using a spreadsheet app. You enter a URL, let Auto-detect identify the data on the page, and Octoparse builds a workflow to extract it. Its library of hundreds of ready-made templates covers popular sites like Amazon and Google Maps, so many jobs are nearly done before you even start. These templates make it easier to scrape sites without setting up each task manually.

It's built for non-developers, with a visual workflow editor that lets you set up actions like clicking links, scrolling pages, and moving through pagination. You can also run tasks in the cloud, schedule recurring extractions, and use automatic IP rotation to reduce the risk of getting blocked. The trade-off is that more complex websites and scraping workflows can still require some manual setup, and there's a limit to how much you can customize without getting into more advanced configurations.

Browse AI

Browse AI uses AI to help you build a scraper without writing code. Enter a URL, and Table Studio can identify the data on the page and turn it into a structured table. Need to click through pages, fill in fields, or log in first? Robot Studio lets you train a robot through visual actions, then reuse the same workflow to collect data again.

Its real strengths are monitoring and automation. Browse AI watches pages for changes, tracks updates to prices and listings, and sends alerts when something changes. You can sync results to Google Sheets or Airtable, export data as CSV or JSON, or connect it to 7,000+ apps and tools. Its robots can also adapt when website layouts change, though more complex changes may still need attention. It's a great pick when you care less about one big scrape and more about keeping your data fresh.

3 Best Web Crawlers for AI, LLMs & Data Extraction

The following 3 tools are built for the AI era. Rather than simply dumping data into spreadsheets, they turn website content into structured data that can power LLMs, RAG pipelines, and AI agent workflows.

Gumloop

Gumloop is an AI workflow platform first, not a traditional web crawler. You build workflows by connecting nodes on a visual canvas, and its AI web scraping agent can collect information from websites as part of a larger task.

That's the appeal. A Gumloop workflow can visit a supplier's page, extract pricing, summarize the results with an AI model, and send the data to a spreadsheet. You can automate the whole process without writing code. Gumloop also supports custom proxy routing for AI model requests, but that doesn't mean it provides a built-in proxy pool for web scraping. If your workflow uses a custom scraper that supports external proxies, a reliable provider like IPcook can help supply proxy IPs for tasks such as collecting data from different regions.

Firecrawl

Firecrawl is a developer-friendly way to turn websites into data that LLMs can use. Give it a URL, and its API can scrape a page or crawl a site by following links. It handles JavaScript-rendered content and returns clean Markdown, HTML, or structured JSON, so you don't have to build your own extraction pipeline from scratch.

Its proxy options are another useful feature. You can choose Basic proxies for faster, standard requests, Enhanced proxies for more challenging sites, or Auto, which starts with Basic and retries with Enhanced if needed. Enhanced requests can take longer and use more credits, so tougher pages may cost more to process. Firecrawl is a strong fit for RAG pipelines, AI agents, and applications that need current web content. It also offers an open-source version, alongside its hosted API.

Thunderbit

Thunderbit takes the "scrape any website in one click" approach. It runs as a browser extension, so you can click a button on a page and let its AI scraper pull out the data. No coding required.

It's a lightweight option for quick extractions and everyday automation. You can scrape subpages, handle pagination, and export results to tools like Google Sheets, Airtable, and Notion. Thunderbit also offers cloud scraping and built-in rotating datacenter proxies, so you don't have to manage proxy rotation yourself. For more complex projects that need precise control over crawling logic, though, a code-based framework may be a better fit.

2 Best Open-Source Web Crawlers for Developers

The next 2 tools take a different approach. Instead of relying on visual interfaces or AI agents, they give developers direct control over how pages are crawled, how data is extracted, and how the results fit into their own stack.

Scrapy

Scrapy is one of the best-known web crawling frameworks in Python, and for good reason. It's built for asynchronous requests and large-scale crawling, with built-in support for exporting scraped data to formats like CSV and JSON. You write spiders to define which links to follow and what data to extract, then use middleware and pipelines to customize request handling and data processing.

There's a learning curve, but you get plenty of control over how your crawler works. For JavaScript-heavy pages, you can integrate Playwright to handle browser rendering. Scrapy also supports HTTP proxy configuration, but you'll need to bring your own proxy IPs. If your project involves frequent requests or location-specific data collection, you can connect a provider like IPcook and configure your own proxy rotation strategy.

Colly

If Go is your language, Colly is a web crawling framework worth considering. It's designed for fast, concurrent crawling and uses Go's concurrency features to handle multiple requests efficiently.

Colly gives you control over crawl behavior, including request limits, delays, parallelism, and custom callbacks. Like Scrapy, it doesn't come with its own proxy IP pool. Meanwhile, it has built-in support for configuring custom proxies and rotating through them with a round-robin switcher. You can supply proxy URLs from a proxy provider when your crawler needs different IPs or access to region-specific content.

2 Best Web Crawlers for SEO & Website Analysis

SEO teams need crawlers that go beyond collecting data. These tools scan websites much like search engines do, helping you find broken links, crawlability issues, and technical SEO problems that can affect how pages get indexed.

DeepCrawl(Lumar)

DeepCrawl, now known as Lumar, is an enterprise-focused crawler built for technical SEO audits. It crawls large websites and reports on URL structure, internal links, redirects, indexability, and other issues that can affect how search engines access your pages.

You can combine website crawls with XML sitemaps, Google Search Console data, and server logs to uncover issues a standard crawl might miss. Find orphan pages and URLs listed in your sitemap but missing from internal links. You can also spot pages that search engine bots visit, but your crawl doesn't discover. Lumar is built for large, complex websites and enterprise SEO teams, so smaller sites may not need all its features.

Oncrawl

Oncrawl combines a technical SEO crawler with server log analysis, giving you 2 views of your website: how its pages are structured and how search engine bots actually access them. That makes it useful when a crawl alone doesn't explain why important pages aren't getting enough attention from search engines.

Its crawler checks internal links, indexability, JavaScript-rendered content, and other technical SEO signals. Log analysis shows how often Googlebot and other crawlers visit your pages, while combining crawl and log data helps you spot wasted crawl budget, inefficient crawl paths, and important pages that receive little bot activity. Oncrawl is designed for SEO teams that need to investigate crawl behavior and prioritize technical fixes using real site data, rather than relying on a list of crawl errors alone.

Best Proxy Providers to Support Web Crawling

Even the best web crawler can run into IP blocks or rate limits. That's where a proxy comes in. It doesn't replace your crawler. It routes requests through different IP addresses, helping reduce blocks and access region-specific content. Some tools, like Octoparse, Browse AI, Firecrawl, and Thunderbit, offer built-in proxy features, but you may still need a dedicated proxy provider for more control over IPs or access to specific locations. Others, like Scrapy and Colly, require you to bring your own proxy IPs.

IPcook is a trusted proxy provider that gives your existing crawler access to residential proxies backed by a pool of 55M+ IPs across 185+ locations, with rotating IPs and sticky sessions of up to 24 hours. Country and city targeting lets you choose IPs by location. Meanwhile, you can download your proxy credentials in your preferred format. Datacenter proxies are also available, with IPs from 4 major countries. Both proxies types support HTTP and SOCKS5, making them compatible with diverse clients and automation tools.

Other Key Features of IPcook:

• Fast Response Times: Average global response time is under 0.5 seconds, with speeds as low as 50 ms in major regions.

• One-line API Integration: Assign proxies with a single line of code and deploy them quickly in automated scripts.

• Quick Setup: Get started in 3 steps with detailed video tutorials to guide you through proxy configuration.

• Team Management: Residential proxies support up to 10 free subaccounts for easier team collaboration.

• 24/7 Support: Get round-the-clock assistance through live chat, email, and phone.

Conclusion

The best web crawler for you is the one that matches how you work, whether that's no-code, AI, open source, or SEO. Choose the tool that fits your needs, respect the sites you crawl, and add a reliable proxy provider like IPcook when you need multiple IPs or access to region-specific data. With the right setup, your web data collection becomes more efficient and manageable.